此前只做了功能冒烟与内存快照,延迟与压测都没测。这两项是计划里 明确列出的验收条件,补上。 ## 基准结果(AMD Ryzen 7 7840HS) | 项目 | 实测 | 基线 | |---|---|---| | 工具调用 RPC 往返 | 24.1 µs | 实验 11: 19.6 µs(同量级) | | 锁仲裁(内核侧) | 0.76 µs | 见下注 | | 事件环写入 | 95 ns | — | | 事件环并发写入 | 83 ns | 无锁竞争恶化 | | 完整 stage 往返 | 132 µs | 含 3 次进程间往返 | | 共享段编解码 | 3.7 µs | 占 stage 的 2.8% | **锁仲裁 0.76µs 不可与实验 3 的 19.40µs 对照**——测的不是同一个东西: 实验 3 测插件经 RPC 请求锁的完整跨进程往返,本基准只测内核侧 lockRegistry.acquire/release。真实成本仍在 20µs 量级。 基准原名 BenchmarkStageLockRoundTrip 有误导性,已改为 BenchmarkStageLockArbitration,并在注释里写明不可对照的理由—— 否则日后有人拿 0.76µs 去比 19.4µs 会得出「优化了 25 倍」的错误结论。 **stage 往返 132µs 的成本构成**:共享段编解码只占 3.7µs,其余是 一次 stage 要走 3 次进程间往返(stage.invoke + 插件侧反向的 stage.lock / stage.unlock)。相对 LLM 往返 2-8 秒可忽略;要优化的方向是 把 lock/unlock 合入 stage.invoke 的请求/应答,省掉两次往返。 ## 流式压测:§4.3 标记「风险高」的那一项通过 原文担忧:「Bus.Publish 路径禁用任何锁/阻塞——流式输出逐 token 发布, 任何等待都会卡顿」。事件环是 Part 5 新加在这条路径上的,必须验。 ``` 5000 次 Publish + 每条睡 20µs 的慢消费者 实测 2.29ms,均摊 457 ns/token 同步语义理论下限 100ms 订阅者 1 个:1.547ms(515 ns/次) 订阅者 8 个:1.518ms(506 ns/次) ← 无线性恶化 环溢出(无消费者写 30000 次,cap=8192):均摊 35 ns/次 ← 仍 O(1) ``` 2.29ms 与实验 4 的数字完全一致(那次也是 2.29ms / 0.46µs per token), post-and-forget 在实现中成立。 第三项的意义:消费者完全停摆时写端覆盖最旧 slot,这条路径仍是 O(1), 故「消费者卡住」不会连带拖慢内核主循环。 Ref: docs/zh/plugin-migration-plan.md Part 6.6、docs/zh/架构迁移评估.md §4.3
⚠️ AI-Assisted Programming Notice: Parts of this project's code, documentation, and commit history were generated or modified with AI assistance. Key changes have been human-reviewed, but please evaluate and verify before use.
HomeAgent
中文: README.md
An Agent framework designed around separation of core domain and application domain. The kernel enforces a zero-IO policy — all external interaction (WebUI, QQ, CLI, file operations, web search, memos, etc.) is handled by the plugin layer; the kernel performs no direct IO operations.
Combined with a three-layer memory architecture (Context → Document → Graph), it maintains contextual coherence across long-running single-conversation sessions through tiered storage and automated archival.
homed (kernel, zero IO) ← PluginSDK → plugins (all IO capabilities)
Design Principles
Separation of Core Domain and Application Domain — The kernel's responsibilities are limited to LLM orchestration, memory management, and knowledge retrieval; all IO capabilities (message send/receive, file read/write, network requests, hardware interaction, etc.) are implemented by plugins. This separation defines domain boundaries at the Agent framework level, with distinct responsibility scopes for the kernel and plugins.
Three-Layer Memory Architecture — Manages information retention in long-running agents through a tiered storage strategy:
- Context Layer: Pretrained word embedding / TF-IDF fallback relevance-scored event window, protects last 10 entries, maintains topK context entries
- Document Layer: Temporary memory with automatic cold data sinking, also supports user-initiated submissions
- Graph Layer: SQLite graph database, persists entity relationships and semantic memory, supports distillation pipelines to extract triples from conversations
Architecture Diagrams
1. Message Processing Sequence
sequenceDiagram
participant U as User/Plugin
participant IO as IOManager
participant EV as eventLoop
participant CTX as RelevanceContext
participant LLM as LLM+Tool Loop
participant ST as StageHost
participant MEM as Three-Layer Memory
U->>IO: InjectInput(type, payload)
IO->>EV: inputCh
rect lavender
Note over EV: processTextInput
EV->>ST: StageOnInput Plugin can rewrite/short-circuit
EV->>CTX: Prune(input,topK) StaticEmbedder/TF-IDF cosine pruning
CTX->>MEM: Low-score events archived to Document (original timestamp)
EV->>CTX: Append(input) CleanTemplateText→three-branch vector→5s write
end
rect lightgreen
Note over EV,LLM: process()
EV->>MEM: buildMemoryContext Indexer recalls from Graph (vector+jieba→BFS depth=2)
EV->>MEM: buildSystemPrompt DocQuery summary+Graph memory index+Persona+Skills
EV->>ST: StagePreAction Plugin can pre-intercept
loop Tool loop
LLM->>LLM: drainInterrupts
LLM->>LLM: LLM Chat
LLM->>ST: StagePostAction Plugin can modify/short-circuit
alt No tool call
LLM-->>EV: Returns response
else
loop Each tool
ST->>ST: StageBeforeToolcall Plugin can reject
LLM->>LLM: executeToolCall
ST->>ST: StageAfterToolcall
end
end
end
end
rect lightpink
Note over EV: emitResponse
CTX->>CTX: Append(response)
ST->>ST: StageBeforeOutput Plugin can rewrite
EV-->>U: ResponseCh CLI sync
EV-->>EV: Event bus WebUI SSE
ST->>ST: StageAfterOutput Read-only
EV->>MEM: emitMemoryCandidate
end
2. Stage Pipeline
flowchart LR
S1[① on_input] --> S2[② pre_action]
S2 --> S3[③ post_action]
S3 --> Q{Has tool?}
Q -->|Yes| S4[④ before_toolcall]
S4 --> T[executeToolCall]
T --> S5[⑤ after_toolcall]
S5 --> S3
Q -->|No| S6[⑥ before_output]
S6 --> S7[⑦ after_output]
style S1 fill:#e1f5fe
style S3 fill:#fff3e0
style S6 fill:#e8f5e9
3. Three-Layer Memory
flowchart TB
subgraph C[① Context Working Window]
RC[RelevanceContext]
A[Append] -->|CleanTemplateText→three-branch vector| RC
P[Prune StaticEmbedder/TF-IDF Cosine] -->|Low score original timestamp| D
P -->|Keep| TL[timeline→chronological→system prompt]
end
subgraph D[② Document File Memory]
DS[DocStore JSON+TF-IDF]
Q1[Query summary auto-inject] -->|[Related Memory Docs]| SP
Q2[doc_query LLM active recall] -->|Consume+delete source| DS
Q2 -->|Original timestamp write to context| RC
CD[FindColdDocs 72h] -->|docToTriples| G
end
subgraph G[③ Graph Database]
DB[(SQLite)]
IDX[Indexer vector+jieba→BFS depth=2] -->|[Memory Index]| SP
MEM[memory_recall/commit/merge/purge/edit]
SOC[person_query/set_trait]
end
subgraph H[④ Heartbeat Distillation]
REORG -->|Step3 Cold docs| CD
REORG -->|Step4 Bigram Jaccard| CONS[consolidation]
PIPE[Pipeline regex] -->|Name/Address/Likes/Age/Job| DB
end
SP[System Prompt] -->|Sequential assembly| LLM
LLM[LLM] -->|doc_query| Q2
LLM -->|memory_recall| MEM
See assets/docs/en/ARCHITECTURE.md for details.
Web Mascot
Quick Start
make build build-cli
./build/homed -data /tmp/ha
# Interactive mode
./build/waiter
# Or single message
echo "Hello, remember that I like coffee" | ./build/waiter
API keys are configured via WebUI http://localhost:8080 settings page, persisted in SQLite.
Code Structure
cmd/homed/ Daemon entry, assembles all subsystems
cmd/waiter/ CLI client (Unix socket)
internal/
├── agent/core/ Agent core: event loop, LLM tool loop, 7-stage pipeline
├── agent/api/ LLM Provider + 8 Lua adapters
├── memory/ Three-layer memory: Graph(SQLite) / Document(JSON+TF-IDF) / Text(JSONL) + StaticEmbedder(pretrained word embedding/TF-IDF fallback) + CleanTemplateText(de-template)
├── knowledge/ Knowledge base (filesystem + TF-IDF)
├── plugin/ Plugin registry + .so/.dll dynamic loader
├── plugins/ 11 built-in plugins (webui/cli/timer/cmd/mcp/clawhubadapter/agentcli/healthcheck/pluginmgr/files/cfgmgr)
├── sdk/ PluginSDK (Tool/Stage/Event three channels)
├── config/ SQLite config center
├── events/ Event bus
└── internal/lua/adapters/ 8 LLM protocol adapter scripts
External plugin development: see [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) repo, use `plugindev` toolchain, refer to Go and Lua examples in `example/`
Project Status
v0.9.0 — C ABI v2: external plugin Stage callbacks can now write back (invoke_stage gained a result out-param; plugins may mutate RawMessage/LLMText/ToolResults etc. in OnInput/AfterToolcall/PostAction and have them synced to the core). ABI version now tracks core minor releases (v0.9.x → ABIVersion=2, version_min=1 keeps old plugins loadable). Also fixes the tool-loop zen-compat placeholder that wrongly fired on first-turn system context tail. The SDK ships an enhanced sanitizer example (bad-UTF-8 / U+FFFD / ANSI-escape scrub across the whole pipeline).
v0.8.0 — Core is functional, plugin system enhanced. 20+ built-in plugins. External plugin development via homeagent-sdk repo. Added input channel NoMemory/Cleaner, ChannelDef, plugin disable/enable system (CLI + WebUI), plugindev toolchain C ABI ChannelDef support.
Documentation
- Project Overview | 中文
- Technical Architecture | 中文
- Plugin Development Guide | 中文
- Lua Adapter | 中文
- Knowledge Base Demo
Build
make build build-cli # Build daemon + CLI
make test # go test ./...
make install # Install to system
Dependencies: Go 1.25+, CGo (go-sqlite3), Linux/Windows.
